Book edited by Brooke Fisher Liu, and Amisha M. Mehta: “With contributions from leading academic experts and practitioners from diverse disciplinary backgrounds including communication, disaster, and health, this Handbook offers a valuable synthesis of current knowledge and future directions for the field. It is divided into four parts. Part One begins with an introduction to foundational theories and pedagogies for risk and crisis communication. Part Two elucidates knowledge and gaps in communicating about climate and weather, focusing on community and corporate positions and considering text and visual communication with examples from the US and Australia. Part Three provides insights on communicating ongoing and novel risks, crises, and disasters from US and European perspectives, which cover how to define new risks and translate theories and methodologies so that their study can support important ongoing research and practice. Part Four delves into communicating with diverse publics and audiences with authors examining community, first responder, and employee perspectives within developed and developing countries to enhance our understanding and inspire ongoing research that is contextual, nuanced, and impactful. Offering innovative insights into ongoing and new topics, this handbook explores how the field of risk, crisis, and disaster communications can benefit from theory, technology, and practice…(More)”
Building a trauma-informed algorithmic assessment toolkit
Report by Suvradip Maitra, Lyndal Sleep, Suzanna Fay, Paul Henman: “Artificial intelligence (AI) and automated processes provide considerable promise to enhance human wellbeing by fully automating or co-producing services with human service providers. Concurrently, if not well considered, automation also provides ways in which to generate harms at scale and speed. To address this challenge, much discussion to date has focused on principles of ethical AI and accountable algorithms with a groundswell of early work seeking to translate these into practical frameworks and processes to ensure such principles are enacted. AI risk assessment frameworks to detect and evaluate possible harms is one dominant approach, as are a growing body of AI audit frameworks, with concomitant emerging governmental and organisational regulatory settings, and associate professionals.
The research outlined in this report took a different approach. Building on work in social services on trauma-informed practice, researchers identified key principles and a practical framework that framed AI design, development and deployment as a reflective, constructive exercise that resulting in algorithmic supported services to be cognisant and inclusive of the diversity of human experience, and particularly those who have experienced trauma. This study resulted in a practical, co-designed, piloted Trauma Informed Algorithmic Assessment Toolkit.
This Toolkit has been designed to assist organisations in their use of automation in service delivery at any stage of their automation journey: ideation; design; development; piloting; deployment or evaluation. While of particular use for social service organisations working with people who may have experienced past trauma, the tool will be beneficial for any organisation wanting to ensure safe, responsible and ethical use of automation and AI…(More)”.
Predicting hotspots of unsheltered homelessness using geospatial administrative data and volunteered geographic information
Paper by Jessie Chien, Benjamin F. Henwood, Patricia St. Clair, Stephanie Kwack, and Randall Kuhn: “Unsheltered homelessness is an increasingly prevalent phenomenon in major cities that is associated with adverse health and mortality outcomes. This creates a need for spatial estimates of population denominators for resource allocation and epidemiological studies. Gaps in the timeliness, coverage, and spatial specificity of official Point-in-Time Counts of unsheltered homelessness suggest a role for geospatial data from alternative sources to provide interim, neighborhood-level estimates of counts and trends. We use citizen-generated data from homeless-related 311 requests, provider-based administrative data from homeless street outreach cases, and expert reports of unsheltered count to predict count and emerging hotspots of unsheltered homelessness in census tracts across the City of Los Angeles for 2019 and 2020. Our study shows that alternative data sources can contribute timely insights into the state of unsheltered homelessness throughout the year and inform the delivery of interventions to this vulnerable population…(More)”.
Applying Social and Behavioral Science to Federal Policies and Programs to Deliver Better Outcomes
The White House: “Human behavior is a key component of every major national and global challenge. Social and behavioral science examines if, when, and how people’s actions and interactions influence decisions and outcomes. Understanding human behavior through social and behavioral science is vitally important for creating federal policies and programs that open opportunities for everyone.
Today, the Biden-Harris Administration shares the Blueprint for the Use of Social and Behavioral Science to Advance Evidence-Based Policymaking. This blueprint recommends actions for agencies across the federal government to effectively leverage social and behavioral science in improving policymaking to deliver better outcomes and opportunities for people all across America. These recommendations include specific actions for agencies, such as considering social and behavioral insights early in policy or program development. The blueprint also lays out broader opportunities for agencies, such as ensuring agencies have a sufficient number of staff with social and behavioral science expertise.
The blueprint includes nearly a hundred examples of how social and behavioral science is already used to make real progress on our highest priorities, including promoting safe, equitable, and engaged communities; protecting the environment and promoting climate innovation; advancing economic prosperity and the future of the workforce; enhancing the health outcomes of all Americans; rebuilding our infrastructure and building for tomorrow; and promoting national defense and international security. Social and behavioral science informs the conceptualization, development, implementation, dissemination, and evaluation of interventions, programs, and policies. Policymakers and social scientists can examine data about how government services reach people or measure the effectiveness of a program in assisting a particular community. Using this information, we can understand why programs sometimes fall short in delivering their intended benefits or why other programs are highly successful in delivering benefits. These approaches also help us design better policies and scale proven successful interventions to benefit the entire country…(More)”.
Data governance for the ecological transition: An infrastructure perspective
Article by Charlotte Ducuing: “This article uses infrastructure studies to provide a critical analysis of the European Union’s (EU) ambition to regulate data for the ecological transition. The EU’s regulatory project implicitly qualifies data as an infrastructure for a better economy and society. However, current EU law does not draw all the logical consequences derived from this qualification of data as infrastructure, which is one main reason why EU data legislation for the ecological transition may not deliver on its high political expectations. The ecological transition does not play a significant normative role in EU data legislation and is largely overlooked in the data governance literature. By drawing inferences from the qualification of data as an infrastructure more consistently, the article opens avenues for data governance that centre the ecological transition as a normative goal…(More)”.
May Contain Lies: How Stories, Statistics, and Studies Exploit Our Biases
Book by Alex Edmans: “Our lives are minefields of misinformation. It ripples through our social media feeds, our daily headlines, and the pronouncements of politicians, executives, and authors. Stories, statistics, and studies are everywhere, allowing people to find evidence to support whatever position they want. Many of these sources are flawed, yet by playing on our emotions and preying on our biases, they can gain widespread acceptance, warp our views, and distort our decisions.
In this eye-opening book, renowned economist Alex Edmans teaches us how to separate fact from fiction. Using colorful examples—from a wellness guru’s tragic but fabricated backstory to the blunders that led to the Deepwater Horizon disaster to the diet that ensnared millions yet hastened its founder’s death—Edmans highlights the biases that cause us to mistake statements for facts, facts for data, data for evidence, and evidence for proof.
Armed with the knowledge of what to guard against, he then provides a practical guide to combat this tide of misinformation. Going beyond simply checking the facts and explaining individual statistics, Edmans explores the relationships between statistics—the science of cause and effect—ultimately training us to think smarter, sharper, and more critically. May Contain Lies is an essential read for anyone who wants to make better sense of the world and better decisions…(More)”.
Empowered Mini-Publics: A Shortcut or Democratically Legitimate?
Paper by Shao Ming Lee: “Contemporary mini-publics involve randomly selected citizens deliberating and eventually tackling thorny issues. Yet, the usage of mini-publics in creating public policy has come under criticism, of which a more persuasive strand is elucidated by eminent philosopher Cristina Lafont, who argues that mini-publics with binding decision-making powers (or ‘empowered mini-publics’) are an undemocratic ‘shortcut’ and deliberative democrats thus cannot use empowered mini-publics for shaping public policies. This paper aims to serve as a nuanced defense of empowered mini-publics against Lafont’s claims. I argue against her claims by explicating how participants of an empowered mini-public remain ordinary, accountable, and therefore connected to the broader public in a democratically legitimate manner. I further critique Lafont’s own proposals for non-empowered mini-publics and judicial review as failing to satisfy her own criteria for democratic legitimacy in a self-defeating manner and relying on a double standard. In doing so, I show how empowered mini-publics are not only democratic but can thus serve to expand democratic deliberation—a goal Lafont shares but relegates to non-empowered mini-publics…(More)”.
AI for social good: Improving lives and protecting the planet
McKinsey Report: “…Challenges in scaling AI for social-good initiatives are persistent and tough. Seventy-two percent of the respondents to our expert survey observed that most efforts to deploy AI for social good to date have focused on research and innovation rather than adoption and scaling. Fifty-five percent of grants for AI research and deployment across the SDGs are $250,000 or smaller, which is consistent with a focus on targeted research or smaller-scale deployment, rather than large-scale expansion. Aside from funding, the biggest barriers to scaling AI continue to be data availability, accessibility, and quality; AI talent availability and accessibility; organizational receptiveness; and change management. More on these topics can be found in the full report.
While overcoming these challenges, organizations should also be aware of strategies to address the range of risks, including inaccurate outputs, biases embedded in the underlying training data, the potential for large-scale misinformation, and malicious influence on politics and personal well-being. As we have noted in multiple recent articles, AI tools and techniques can be misused, even if the tools were originally designed for social good. Experts identified the top risks as impaired fairness, malicious use, and privacy and security concerns, followed by explainability (Exhibit 2). Respondents from not-for-profits expressed relatively more concern about misinformation, talent issues such as job displacement, and effects of AI on economic stability compared with their counterparts at for-profits, who were more often concerned with IP infringement…(More)”
Data Stewardship: The Way Forward in the New Digital Data Landscape
Essay by Courtney Cameron: “…It is absolutely critical that Statistics Canada, as a national statistical office (NSO) and public service organization, along with other government agencies and services, adapt to the new data ecosystem and digital landscape. Canada is falling behind in adjusting to rapid digitalization, exploding data volumes, the ever-increasing digital market monopolization by private companies, foreign data harvesting, and in managing the risks associated with data sharing or reuse. If Statistics Canada and the federal public service are to keep up with private companies or foreign powers in this digital data context, and to continue to provide useful insights and services for Canadians, concerns of data digitalization, data interoperability and data security must be addressed through effective data stewardship.
However, it is not sufficient to have data stewards responsible for data: as data governance expert David Plotkin argues in Data Stewardship: An Actionable Guide to Effective Data Management and Data Governance, government departments must also consult these stewards on decisions about the data that they steward, if they are to ensure that decisions are made in the best interests of those who get value from the information. Frameworks, policies and procedures are needed to ensure this, as is having a steward involved in the processes as they occur. Plotkin also writes that data stewardship involvement needs to be integrated into enterprise processes, such as in project management and systems development methodologies. Data stewardship and data governance principles must be accepted as a part of the corporate culture, and stewardship leaders need to advise, drive and support this shift.
Finally, stewardship goes beyond sound data management and standards: it is important to be mindful of the role of an NSO. Public acceptability and trust are of vital importance. Social licence, or acceptability, and public engagement are necessary for NSOs to be able to perform their duties. These are achieved through practising data stewardship and adhering to the principles of open data, as well as by ensuring transparent processes, confidentiality and security, and by communicating the value of citizens’ sharing their data…With the rapidly accelerating proliferation of data and the increasing demand for, and potential of, data sharing and collaboration, NSOs and public governance organizations alike need to reimagine data stewardship as a function and role encompassing a wider range of purposes and responsibilities…(More)”. See also: Data Stewards — Drafting the Job Specs for A Re-imagined Data Stewardship Role
Groups want N.Y. to disaggregate data of Middle Eastern, North African individuals
Article by Luke Parsnow: “A group of organizations are pushing for New York lawmakers to pass a bill that would disaggregate data of Middle Eastern and North African (MENA) individuals, according to a letter sent Monday.
The bill (S6584-B/A6219-A) would direct every state agency, board, department and commission that collects demographic data to use separate categories to collect data for the “White” and “Middle Eastern or North African” groups.
“Our organizations have seen firsthand the impact of the systemic exclusion of Middle Eastern and North African communities from data collection,” the letter reads. “Our communities do not perceive themselves to be white and are not perceived to be white. We also experience various disparities compared to non-Hispanic whites that go unseen because of the lack of data.”
The group says those communities categorized as “White” hinders those communities in education, employment, housing, health care and political representation.
“Miscategorizing a New Yorker’s race is not only offensive, but has real-world impacts on services and resources my particular communities receive,” Senate Deputy Leader Michael Gianaris said in a statement. “It should be obvious that people from the Middle East or North Africa are not white, yet that is how our laws define them.”
Gianaris said the legislation would give many New Yorkers better representation and a more powerful voice.
“The lack of a MENA category has hindered our understanding of the needs of MENA communities and our ability to consider those needs in decision-making and resource allocation,” according to the letter…(More)”.